Abstract
The theory of intuitionistic fuzzy sets (IFSs) is well-suited to dealing with vagueness and hesitancy. In this study, we propose a new fuzzy TOPSIS group decision making model using entropy weight for dealing with multiple criteria decision making (MCDM) problems in an intuitionistic fuzzy environment. This model can measure the degrees of satisfaction and dissatisfaction of each alternative evaluated across a set of criteria. To obtain the weighted fuzzy decision matrix, we employ the concept of Shannon's entropy to calculate the criteria weights. An investment example is used to illustrate the application of the proposed model.
| Original language | English |
|---|---|
| Title of host publication | Intelligent Automation and Computer Engineering |
| Pages | 17-26 |
| Number of pages | 10 |
| DOIs | |
| Publication status | Published - 2010 Dec 1 |
| Event | International Conference in Intelligent Automation and Computer Engineering, Under the Auspices of the International MultiConference of Engineers and Computer Scientists, IMECS 2009 - Hong Kong, Hong Kong Duration: 2009 Mar 18 → 2009 Mar 20 |
Publication series
| Name | Lecture Notes in Electrical Engineering |
|---|---|
| Volume | 52 LNEE |
| ISSN (Print) | 1876-1100 |
| ISSN (Electronic) | 1876-1119 |
Other
| Other | International Conference in Intelligent Automation and Computer Engineering, Under the Auspices of the International MultiConference of Engineers and Computer Scientists, IMECS 2009 |
|---|---|
| Country | Hong Kong |
| City | Hong Kong |
| Period | 09-03-18 → 09-03-20 |
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All Science Journal Classification (ASJC) codes
- Industrial and Manufacturing Engineering
Cite this
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A multiple criteria group decision making model with entropy weight in an intuitionistic fuzzy environment. / Hung, Chia Chang; Chen, Liang-Hsuan.
Intelligent Automation and Computer Engineering. 2010. p. 17-26 (Lecture Notes in Electrical Engineering; Vol. 52 LNEE).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
TY - GEN
T1 - A multiple criteria group decision making model with entropy weight in an intuitionistic fuzzy environment
AU - Hung, Chia Chang
AU - Chen, Liang-Hsuan
PY - 2010/12/1
Y1 - 2010/12/1
N2 - The theory of intuitionistic fuzzy sets (IFSs) is well-suited to dealing with vagueness and hesitancy. In this study, we propose a new fuzzy TOPSIS group decision making model using entropy weight for dealing with multiple criteria decision making (MCDM) problems in an intuitionistic fuzzy environment. This model can measure the degrees of satisfaction and dissatisfaction of each alternative evaluated across a set of criteria. To obtain the weighted fuzzy decision matrix, we employ the concept of Shannon's entropy to calculate the criteria weights. An investment example is used to illustrate the application of the proposed model.
AB - The theory of intuitionistic fuzzy sets (IFSs) is well-suited to dealing with vagueness and hesitancy. In this study, we propose a new fuzzy TOPSIS group decision making model using entropy weight for dealing with multiple criteria decision making (MCDM) problems in an intuitionistic fuzzy environment. This model can measure the degrees of satisfaction and dissatisfaction of each alternative evaluated across a set of criteria. To obtain the weighted fuzzy decision matrix, we employ the concept of Shannon's entropy to calculate the criteria weights. An investment example is used to illustrate the application of the proposed model.
UR - http://www.scopus.com/inward/record.url?scp=84867295005&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84867295005&partnerID=8YFLogxK
U2 - 10.1007/978-90-481-3517-2-2
DO - 10.1007/978-90-481-3517-2-2
M3 - Conference contribution
SN - 9789048135165
T3 - Lecture Notes in Electrical Engineering
SP - 17
EP - 26
BT - Intelligent Automation and Computer Engineering
ER -